血管源性认知障碍自我辨识筛查系统的Logistic回归分析

发布时间：2018-10-08 20:10

【摘要】：目的通过血管源性认知障碍自我辨识筛查量表建立筛查数学模型,初步筛查出轻度血管源性认知障碍患者。方法收集年龄≥50岁、存在血管源性危险因素的人群共计610例,通过简易智能精神状态检查量表(MMSE)及蒙特利尔认知评估量表(MoCA)分为认知正常组和认知障碍组。调查病例的一般资料、自我辨识筛查量表资料以及MMSE、MoCA量表资料,并对其进行Logistic回归分析。结果年龄、学历、高血压病、脑血管病对认知功能影响较大。通过Logistic回归分析得到的函数总体预测结果的一致率达到66.3%,灵敏度(Sen)为79.8%,特异度(Spe)为44.3%。结论本研究建立的数学模型适用于在具有血管源性危险因素的人群中进行轻度认知障碍患者的筛查。
[Abstract]:Objective to establish a mathematical model of screening by self-identification screening scale for vascular cognitive impairment and to screen out mild vascular cognitive impairment patients. Methods A total of 610 patients aged more than 50 years with vascular risk factors were collected and divided into normal cognitive group and cognitive impairment group by mini-mental state check scale (MMSE) and Montreal Cognitive Assessment scale (MoCA). The data of general data, self-identification screening scale and MMSE,MoCA scale were investigated and analyzed by Logistic regression analysis. Results Age, education, hypertension and cerebrovascular disease had great influence on cognitive function. By Logistic regression analysis, the consistency rate of the predicted results was 66.3%, the sensitivity (Sen) was 79.8%, and the specificity (Spe) was 44.3%. Conclusion the mathematical model established in this study is suitable for screening patients with mild cognitive impairment in a population with vascular risk factors.
【作者单位】：北京中医药大学基础医学院;北京中医药大学东方医院;北京大学人民院;北京大学人民医院;长春中医药大学第一附属医院;山东中医药大学附属医院;天津中医药大学第二附属医院;河北省中医院;
【基金】：首都医学科技发展基金资助项目(SF-2005-3) 北京市新医药学科群建设项目(XK100270569) 国家中医药管理局公益性行业科研专项资助项目(200807011) 国家中医药管理局中医药行业科研专项(201007002)
【分类号】：R749.1

【参考文献】